{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:44:19Z","timestamp":1742964259690,"version":"3.40.3"},"publisher-location":"Heidelberg","reference-count":7,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319005416"},{"type":"electronic","value":"9783319005423"}],"license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-319-00542-3_24","type":"book-chapter","created":{"date-parts":[[2013,5,2]],"date-time":"2013-05-02T00:33:49Z","timestamp":1367454829000},"page":"233-244","source":"Crossref","is-referenced-by-count":0,"title":["Predictive Control of Radio Telescope Using Multi-layer Perceptron Neural Network"],"prefix":"10.1007","author":[{"given":"Sergej","family":"Jakovlev","sequence":"first","affiliation":[]},{"given":"Miroslav","family":"Voznak","sequence":"additional","affiliation":[]},{"given":"Kestutis","family":"Ruibys","sequence":"additional","affiliation":[]},{"given":"Arunas","family":"Andziulis","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"2","key":"24_CR1","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1016\/S0019-0578(07)60192-X","volume":"45","author":"A. Savran","year":"2006","unstructured":"Savran, A., Tasaltin, R., Becerikli, Y.: Intelligent adaptive nonlinear flight control for a high performance aircraft with\u00a0neural networks. ISA Transactions\u00a045(2), 225\u2013247 (2006)","journal-title":"ISA Transactions"},{"issue":"13","key":"24_CR2","doi-asserted-by":"publisher","first-page":"2094","DOI":"10.1016\/j.applthermaleng.2011.01.026","volume":"31","author":"A. Vasickaninova","year":"2011","unstructured":"Vasickaninova, A., Bakosova, M., Meszaros, A., Klemes, J.J.: Neural network predictive control of a heat exchanger. Applied Thermal Engineering\u00a031(13), 2094\u20132100 (2011)","journal-title":"Applied Thermal Engineering"},{"issue":"8","key":"24_CR3","doi-asserted-by":"publisher","first-page":"1332","DOI":"10.1016\/j.epsr.2007.12.001","volume":"78","author":"V. Vahidinasab","year":"2008","unstructured":"Vahidinasab, V., Jadid, S., Kazemi, A.: Day-ahead price forecasting in restructured power systems using artificial\u00a0neural networks. Electric Power Systems Research\u00a078(8), 1332\u20131342 (2008)","journal-title":"Electric Power Systems Research"},{"issue":"3","key":"24_CR4","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1016\/j.eswa.2011.08.087","volume":"39","author":"I. Mukherjee","year":"2012","unstructured":"Mukherjee, I., Routroy, S.: Comparing the performance of neural networks developed by using Levenberg\u2013Marquardt and Quasi-Newton with the gradient descent algorithm for modelling a multiple response grinding process. Expert Systems with Applications\u00a039(3), 397\u20132407 (2012)","journal-title":"Expert Systems with Applications"},{"issue":"1-4","key":"24_CR5","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.jhydrol.2011.06.019","volume":"407","author":"A.P. Piotrowski","year":"2011","unstructured":"Piotrowski, A.P., Napiorkowski, J.J.: Optimizing neural networks for river flow forecasting \u2013 Evolutionary Computation methods versus the Levenberg\u2013Marquardt approach. Journal of Hydrology\u00a0407(1-4), 12\u201327 (2011)","journal-title":"Journal of Hydrology"},{"issue":"1","key":"24_CR6","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.snb.2005.01.008","volume":"110","author":"B.G. Kermani","year":"2005","unstructured":"Kermani, B.G., Schiffman, S.S., Troy Nagle, H.: Performance of the Levenberg\u2013Marquardt neural network training method in electronic nose applications. Sensors and Actuators B: Chemical\u00a0110(1), 13\u201322 (2005)","journal-title":"Sensors and Actuators B: Chemical"},{"key":"24_CR7","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1007\/978-3-540-76631-5_64","volume-title":"MICAI 2007: Advances in Artificial Intelligence","author":"V. Sn\u00e1\u0161el","year":"2007","unstructured":"Sn\u00e1\u0161el, V., H\u00fasek, D., Frolov, A.A., \u0158ezankov\u00e1, H., Moravec, P., Polyakov, P.: Bars Problem Solving - New Neural Network Method and Comparison. In: Gelbukh, A., Kuri Morales, \u00c1.F. (eds.) MICAI 2007. LNCS (LNAI), vol.\u00a04827, pp. 671\u2013682. Springer, Heidelberg (2007)"}],"container-title":["Advances in Intelligent Systems and Computing","Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-00542-3_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,20]],"date-time":"2023-01-20T07:20:00Z","timestamp":1674199200000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-00542-3_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783319005416","9783319005423"],"references-count":7,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-00542-3_24","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2013]]}}}